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Admission

Dear prospective students,

many thanks for your interest in the Master's program in Data Science of the Statistics, Computer Science and Mathematics Departments of TU Dortmund University. On this page you will find information regarding the application and enrolment process. Also, have a look our FAQs.

Step 0

Inform yourself about the contents of our study program.

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Keep in mind that our study program ist based on the theoretical (mathematical) foundations of statistics and computer science to derive advanced methods of Data Science. Often applicants are surprised after enrolling with us how mathematically / statistically oriented our study program is. The program is designed as a consecutive Master's program to our Bachelor in Data Science. All contents of the Bachelor are therefore assumed to be known.

An online self-assessment test is available for you to check your previous knowledge. The processing of the test prior to your application is obligatory, please be conscientious in processing it. Without a bachelor in Data Science from our department, you will most likely be missing some of the content from our bachelor's program, mostly this is actually related to the mathematical and statistical basics. The self-assessment test should show you whether and to what extent you lack previous knowledge.

We expect you to work on the contents you are missing independently in addition to your Master's studies and to close the gaps in your knowledge yourself. If you have had too much trouble completing the corresponding tasks of the self-test, we would even advise you not to apply. Otherwise, we would be very pleased if you decide to join us.

Step 1

Check that you meet the following criteria for admission to our Data Science program:

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  1. A suitable Bachelor’s degree. There are two possibilities:

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    1. You have completed a Bachelor's degree in Data Science at TU Dortmund University.

    2. You have completed another Bachelor’s degree at a German university (Comparable degrees from foreign universities are recognized according to legal regulations). In this case, admission is possible if your studies are assessed by us as being informatics/statistical/mathematical oriented. According to our examination regulations, this orientation is given if your qualifying Bachelor's degree has the following contents:

      1. Performances in the core fields of mathematics, statistics and computer science amounting to at least 32 credit points, composed of performances in computer science in the fields of "Algorithms", "Data Structures", "Object-Oriented Programming" and "Software Engineering" amounting to at least 8 credit points, and performances in mathematics in the fields of "Analysis", "Linear Algebra", "Differential Equations", "Discrete Mathematics" and "Numerics" amounting to at least 8 credit points, and performances in basic statistics courses in the fields of "Introduction to (Descriptive) Statistics" and "Introduction to Probability" amounting to at least 4 credit points, and from performances in advanced statistics courses in the field of "Inference", in particular concerning "point estimation", "interval estimation", "hypothesis testing" and "stochastics", amounting to at least 8 credit points.

      2. Performances in computer science from the field of "databases" amounting to at least 4 credit points.

      3. Performances in data modelling to at least 8 credit points, with courses in the fields of "(generalized) linear models", "statistical / machine learning methods", "time series" and (practical) optimization, amounting to at least 8 credit points.

    3. Admission subject to conditions is possible. The above-mentioned performances can be replaced by extra courses that must be fulfilled after enrolment in the course of study as follows:

      1. The 44 credit points in mathematics + statistics + computer science must have been earned. If fewer points were achieved, admission is not possible.

      2. The 8 credit points in mathematics must have been earned. If less points were achieved, admission is not possible. If at least 8 points have been earned, but the corresponding courses do not reach the level of Higher Mathematics 1 and 2 as teached at TU Dortmund University, admission is granted on condition that the module MD Req 1: Advanced Mathematics is completed. In this case, the English-language lecture Advanced Engineering Mathematics must be attended after enrollment.

      3. The 8 credit points in computer science can be replaced by extra courses under certain circumstances: If the relevant Bachelor's program does not include 8 credit points in Computer Science, but an introduction to any higher programming language (like C++, Java, Python, R, ...) in the scope of at least 4 credit points has been taken, admission is possible with the extra course MD Req 2: Data Structures and Programming. This module can be completed either by taking the German language lecture Datenstrukturen, Algorithmen und Programmierung I or by taking the English language Reading Course Data Structures and Programming. However, this is only possible if you do not have to take any further extra courses in points 6. and 7. If less than 8 credit points in relevant computer science courses and no programming course with a minimum of 4 credit points were completed in the Bachelor's program, admission is not possible.

      4. The 4 credit points in an introductory course in databases can be replaced by the extra course MD Req 3: Information Systems In this module, either the German-language lecture Information Systeme or the English-language Reading Course Information Systems must be completed.

      5. The 4 credit points in an introductory course in statistics must have been earned. If less than 4 credit points were achieved, admission is not possible.

      6. The 8 credit points in advanced statistics courses in the field of inference can be replaced by the two extra course modules MD Req 5: Inference and MD Req 6: Linear Models (both English language Reading Courses) or by the German language lecture Schätzen und Testen. However,this is only possible if no extra courses under point 3 and 6 have been issued at the same time.

      7. The 8 credit points in statistical courses in the area of data modeling can be achieved by the extra course MD Req 8: Introduction to Statistical Learning. In this module either the German lecture Einführung in das statistische Lernen or the English Reading Course Introduction to Statistical Learning must be completed. However,this is only possible if no extra courses under point 3 and 7 have been issued at the same time.

      In total, at least 44 of the required 56 credit points must therefore have been earned in any case, and a maximum of 12 credit points may be made up by extra courses: On the one hand the course from the area of databases in the scope of 4 ECTS each, and on the other hand exactly one of the 3 courses in the areas of computer science basics (algorithms and data structures), advanced statistics (inference) or data modelling in the scope of 8 ECTS each. In addition, it is possible that an additional mathematics course must be taken as a requirement in case of insufficient mathematics knowledge.

      Here you as an applicant are in the obligation to prove that the courses you have attended belong to the corresponding areas. Often the names of the courses are meaningful enough (e.g. Analysis I). However, sometimes a course like Engineering Mathematics III is actually an introduction to statistics, and, hence, the course has to be counted in the field of statistics, and not in the field of mathematics. For this purpose, it may be necessary to submit the corresponding module manuals with your application, so we can check the contents of your courses.

  2. The final grade of the Bachelor's degree previously reviewed for application is at least “good” (2.5) in the German system. No exception can be made from this rule. If you did your Bachelor abroad, your final grade will be converted into the German grading system as part of the application process, we use the Modified Bavarian formula for this.

  3. Proof of competencies in the English lan­guage, which must at least correspond to level B2 of the Common European Framework of Reference (CEFR).

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    Here, we accept the following proofs:

    1. a German certificate of general qualification for university entrance (English from 5th or 7th grade up to the Abitur),

    2. an internationally recognised language certificate,

    3. a diploma from an English-speaking school or an English-speaking course of study,

    4. comparable evidence.

  4. In order to prove the special functional qualification, a statistical report must be prepared and submitted with the application. The task and further instructions can be found in this document: task for the report. The prepared report must be submitted together with the other application documents.

  5. The Self-Disclosure self-disclosure must be filled in. Please pay special attention to sign the document 2 times at the end.

  6. Proof that the online self-assessment test has been carried out. Please note that the final score of the self-assessment test has no influence on your admission. Confirmation of participation in the self-assessment test is made via the self-disclosure document.

Proof of German language skills is NOT required. The entire program can be completed without knowledge of the German language.

Owing to legal regulations, other criteria such as Master's degrees, professional experience, and certificates from further (professional) education according to legal regulations cannot be used for the assessment. All three criteria must be fulfilled for admission. If you do not meet criterion 1) or 2), you cannot change this by additionally completing further courses.

The course of studies is NOT admission restricted. If you meet the criteria above, you are guaranteed a place at our university. However, it is not possible to defer your admission to an upcoming semester.

Step 2

Application and registration. This process varies depending on where you obtained your relevant degree and on your nationality.

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  1. Within Germany and you are already enrolled at TU Dortmund University:

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    1. Procedure: fill out the application for change of study program and submit it to the Student Secretariat.

    2. Deadline: Friday before the start of lectures.

    3. Documents required: the completed application form, your (preliminary) degree certificate, proof of your English language skills, and the proof of the online self-assessment.

    4. Procedure: the Student Secretariat forwards your application to us (usually within a few days) for examination of the criteria in step 1. If this is given, you will be enrolled automatically. We recommend an early application a few weeks before the start of the semester.

    5. Contact person for formal problems: here we can NOT help you. Contact the Student Secretariat instead.

  2. Within Germany and you are not enrolled at the TU Dortmund University:

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    1. Procedure: apply online at the Student Secretariat, please use the Campusportal.

    2. Deadline: Friday before the start of lectures (We recommend an early application a few weeks before the start of the semester).

    3. Required documents: the completed application form, your (preliminary) degree certificate, proof of your English language skills, the proof of the online self-assessment, proof of a German health insurance, a certified copy of your university entrance qualification.

    4. Procedure: the Student Secretariat forwards your application to us (usually within a few days) for examination of the criteria in step 1. If this is given, you will get an admission letter and you can decide to enroll within the given deadline.

    5. Contact person for formal problems: here we can NOT help you. Contact the Student Secretariat instead.

  3. Within the EU:

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    1. Procedure: apply at the International Office

    2. Deadline: Friday before the start of lectures.

    3. Documents required: a list of the documents required can be found on the website of the International Office linked above. Further required documents for the Master in Data Science are: English language certificate, the proof of the online self-assessment, Module Manuals of relevant courses.

    4. Procedure: you first submit your application online to the International Office. They will forward your application to us for examination. As there are a lot of international applicants, this can take several weeks or even months. You will then receive the admission decision from the International Office and may enroll in our degree program. You can find all information on enrollment here.

    5. Contact person for formal problems: here we can NOT help you. Contact the International Office instead.

      Important information: we are NOT informed about the current status of your application.

  4. Outside the EU:

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    1. Procedure: apply at the International Office.

    2. Deadlines: November 15 to January 15 (application for the summer semester); March 15 to July 15 (application for the winter semester). We recommend an early application, as we need a few weeks to process your application and you may have to take care of a visa and an apartment in Germany afterwards.

    3. Required documents: a list of the required documents can be found on the website of the International Office linked above. Further required documents for the Master in Data Science are: English language certificate, the proof of the online self-assessment, Module Manuals of relevant courses.

    4. Procedure: you first apply online to the International Office. It is not planned to send documents by post. Your application will be forwarded to us for examination. As there are a lot of international applicants, this can take several weeks or even months. You will then receive the admission decision from the International Office and may enroll in our degree program. You can find all information on enrollment here.

    5. Contact person for formal problems: here we can NOT help you. Contact the International Office instead.

      Important information: we are NOT informed about the current status of your application.

Step 3

Organization of the study program: Congratulations, you have made it and are enrolled for our Master in Data Science. The following information might be relevant for the start of your studies:

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  1. Extra Requirements: if you have not completed our Bachelor in Data Science, you have probably been admitted under conditions. These conditions serve to bring your level of knowledge closer to our Bachelor graduate’s level. These extra requirements have to be fulfilled after enrollment and before attending the course Case Studies. Please note that in the case of extra requirements your studies may take longer than two years.

  2. Study organization: there will be orientation events at the beginning of your studies. These will take place at the beginning of October for winter intake together with the newcomers in the Bachelor's program of our department, and at the beginning of April for summer intake. Participation is highly recommended as you will receive a lot of useful information regarding your studies and get to know your fellow students and the campus.

  3. Precourses: Before the start of the lectures you should check out our precourses which will help you to prepare for your upcoming master and to refresh your memories of all the important stuff from your bachelor courses. There will be 3 different precourses.

    The first one is a statistics precourse in German language which covers especially the most important content of the statistics bachelor. It takes place 3 weeks live on campus or via zoom (due to the corona virus). It is recommended if you prepare for the statistics master.

    The second and third precourses are online courses on the learning platform moodle in English language. They have no fixed timetable. So, you can do them where and whenever you want.

    One of them is a online statistics course. It mostly covers the same content as the first precourse and is recommended for both master's programmes Data Science and Econometrics. The other one is a data science course and is highly recommended for all data science students.

    For more information click here

  4. You can find a lot of information for foreign students on the website of the International Office.